docs: adding the multiclass quickstart (#96)

* docs: adding the multiclass quickstart * docs: fix typo in the notebook name * docs: fix typo in README --------- Co-authored-by: Mauro Mariniello <[email protected]>
radicalbit · Jul 9, 2024 · c2cfc4c · c2cfc4c
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diff --git a/docs/quickstarts/README.md b/docs/quickstarts/README.md
@@ -29,8 +29,8 @@ poetry update
 
 ### Tutorials ###
 
-| Task                  | Tutorial Name                                     | Dataset to use                                                                                  | Dataset license   | Description                                                                                                               |
-|-----------------------|---------------------------------------------------|-------------------------------------------------------------------------------------------------|-------------------|---------------------------------------------------------------------------------------------------------------------------|
-| Binary Classification | notebooks/binary-classification-income-data.ipynb | data/binary_classification/reference-income.csv,  data/binary_classification/current1-income.csv|Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit.                   | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features. |
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+| Task                      | Notebook                                             | Dataset to use                                                                                                 | Dataset license                                                                                                                                                                            | Description                                                                                                                            |
+|---------------------------|------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------|
+| Binary Classification     | notebooks/binary-classification-income-data.ipynb    | data/binary_classification/reference-income.csv,  data/binary_classification/current1-income.csv               | Kohavi,Ron. (1996). Census Income. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP7S. Adapted by Radicalbit.                                                                | In this tutorial we monitor data and performance of a ML used to classify if the income is > 50K given a set of features.              |
+| Multiclass Classification | notebooks/multiclass-classification-heart-data.ipynb | data/multiclass-classification/3_classes_reference.csv, data/multiclass-classification/3_classes_current1.csv  | Janosi,Andras, Steinbrunn,William, Pfisterer,Matthias, and Detrano,Robert. (1988). Heart Disease. UCI Machine Learning Repository. https://doi.org/10.24432/C52P4X. Adapted by Radicalbit. | In this tutorial we monitor data for a multi-class classification task, in which we classify between 3 different heart disease types. |